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    Progress in neuro-psychopharmacology & biological psychiatry. 2017 Oct 5. pii: S0278-5846(17)30684-X. doi: 10.1016/j.pnpbp.2017.10.005
    Pleiotropic genes in psychiatry: Calcium channels and the stress-related FKBP5 gene in antidepressant resistance.
    Fabbri C1,  Corponi F2,  Albani D3,  Raimondi I4,  Forloni G5,  Schruers K6,  Kasper S7,  Kautzky A8,  Zohar J9,  Souery D10,  Montgomery S11,  Cristalli CP12,  Mantovani V13,  Mendlewicz J14,  Serretti A15
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    Abstract

    A candidate gene and a genome-wide approach were combined to study the pharmacogenetics of antidepressant response and resistance. Investigated genes were selected on the basis of pleiotropic effect across psychiatric phenotypes in previous genome-wide association studies and involvement in antidepressant response. Three samples with major depressive disorder (total=671) were genotyped for 44 SNPs in 8 candidate genes (CACNA1C, CACNB2, ANK3, GRM7, TCF4, ITIH3, SYNE1, FKBP5). Phenotypes were response/remission after 4weeks of treatment and treatment-resistant depression (TRD). Genome-wide data from STAR*D were used to replicate findings for response/remission (n=1409) and TRD (n=620). Pathways including the most promising candidate genes were investigated in STAR*D for involvement in TRD. FKBP5 polymorphisms showed replicated but nominal associations with response, remission or TRD. CACNA1C rs1006737 and rs10848635 were the only polymorphisms that survived multiple-testing correction. In STAR*D the best pathway associated with TRD included CACNA1C (GO:0006942, permutated p=0.15). Machine learning models showed that independent SNPs in this pathway predicted TRD with a mean sensitivity of 0.83 and specificity of 0.56 after 10-fold cross validation repeated 100 times. FKBP5 polymorphisms appear good candidates for inclusion in antidepressant pharmacogenetic tests. Pathways including the CACNA1C gene may be involved in TRD and they may provide the base for developing multi-marker predictors of TRD.


    Copyright © 2017. Published by Elsevier Inc.

    KEYWORDS: Antidepressants, GWAS, Gene, Pharmacogenetics, Treatment-resistant depression

    Publikations ID: 28989100
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